Senior Manager Data Engineering - Remote
Eden Prairie, Hennepin County, Minnesota, 55344, USA
Listed on 2026-10-06
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IT/Tech
Data Engineering, IT Project Manager
Improve the lives of others while Caring. Connecting. Growing together.
Job Description- Senior Manager Data Engineering
- Remote (2379922) Senior Manager Data Engineering
- Remote - 2379922
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives.
Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
The Optum Health Financial Tech team is seeking a strategic technology leader to drive Employer & Individual (E&I) HEDIS Retrospective Operations and Maintenance for a high-visibility cloud migration program. Supporting mission-critical modernization and regulatory compliance efforts, this role leads a team of data engineers and subject matter experts in delivering scalable, production-ready data pipelines. In this role, you will partner closely with business leaders and auditors, managing key operational commitments and integrating production-ready AI capabilities to automate workflows, mitigate technical risk, and maintain strict regulatory SLAs.
You’ll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
- Dev lead responsible for delivering Cloud based data engineering solutions along with driving AI implementations
- Lead, direct, and mentor a team of 6+ data engineers and functional subject matter experts to execute scalable data pipeline automations and maintain operational SLAs
- Guide the team in designing, building, and integrating production-ready AI capabilities into scalable data engineering architectures and automated pipelines with emphasis on responsible AI practices
- Manage critical communications and alignment with business partners and auditors regarding functional logic, quality measures, issue resolution, and regulatory reporting requirements
- Drive the evaluation and adoption of enterprise-approved AI tools to streamline data workflows, enhance pipeline performance, and drive continuous operational delivery
- Collaborate effectively across cross-functional product, enhancement, and source teams to resolve dependencies and safeguard business commitments
- Ensure strict adherence to HEDIS quality measure specifications, NCQA updates, and regulatory reporting timelines
- Remove technical and operational barriers to execution by facilitating key architecture and workflow decisions in complex environments
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- 5+ years of experience in the health insurance industry serving as a subject matter expert in HEDIS concepts, measure engines, and data domains (Member, Eligibility, Medical, Rx, Clinical) across Medicare, Medicaid, and Commercial lines of business
- 5+ years of experience using on-premise or cloud-based SQL databases in a business, research, or consulting environment
- 3+ years of Agile/Kanban delivery experience, including engineering best practices such as unit testing, TDD, CI/CD, pair programming, automated testing, and code reviews
- 2+ years of experience leading, coaching, and managing technical and functional team members (leading 6+ engineers/SMEs)
- 1+ years…
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